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For Companies At a Glance
- Tasks: Research quant trading strategies and monitor live trading performance.
- Company: A leading firm in systematic quantitative macro investing with a dynamic team.
- Benefits: Enjoy a collaborative culture and opportunities for professional growth.
- Why this job: Perfect for those passionate about diverse asset classes and innovative data analysis.
- Qualifications: 3-4 years in financial markets, coding skills in R or Python, and relevant academic background.
- Other info: Ideal for candidates eager to thrive in a supportive and engaging environment.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
They are specialists in systematic quantitative macro investing and manage systematic quantitative equity and global multi-asset strategies.
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Role:-
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Your role will involve researching quant trading strategies  including also monitoring the live trading of the models, and performance analysis. Everyone in the team gets involved in data requests for clients and marketing. You will monitor the models , give information to the senior quants of the live trading decisions and performance . You will be involved in researching and identifying alternative datasets to create new systematic strategies as well as back-testing and implementing new strategies.
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Requirements:-
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Ideally you will have quant exposure from multiple asset classes .  This is not a role for someone who wants to specialise only in one asset class but perfect for a candidate who is excited about multiple asset classes and exposure to different facets of the job.
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They are looking for a quant who has three or four years work experience in a relevant area involving financial markets / macroeconomics from a datascience angle .
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Coding ability in R or Python.
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You will be very good with data in a practical way and interested in data analysis.
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If you have had exposure to presenting  or marketing new research to institutional investors – that will be a plus.
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Academically, they would like to see Masters / PHDs who have a focus on Economics / Econometrics / Data Science.
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This is a place where people work for years and thrive in the culture.
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Apply:-
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Please send a PDF resume to Tina Kaul at quants@ekafinance.com
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Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cross Asset Specialist
✨Tip Number 1
Familiarise yourself with the latest trends in systematic quantitative macro investing. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your coding skills, particularly in R or Python. Being able to demonstrate your coding ability through practical examples or projects can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the field of quantitative finance. Attend industry events or webinars to connect with others who work in similar roles, as they may provide insights or even referrals for the position.
✨Tip Number 4
Prepare to discuss your experience with alternative datasets and how you've used them in past roles. Highlighting specific examples of your research and analysis will show your capability and enthusiasm for the job.
We think you need these skills to ace Cross Asset Specialist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Cross Asset Specialist. Familiarise yourself with systematic quantitative macro investing and the importance of multi-asset strategies.
Tailor Your CV: Highlight your relevant experience in financial markets, macroeconomics, and data science. Emphasise your coding skills in R or Python and any exposure to presenting research to institutional investors.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for multiple asset classes and your excitement about the role. Mention specific experiences that demonstrate your ability to research and implement quant trading strategies.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail and professionalism, which is crucial in the finance industry.
How to prepare for a job interview at Eka Finance
✨Showcase Your Quantitative Skills
Make sure to highlight your experience with quantitative trading strategies. Be prepared to discuss specific projects where you've applied your coding skills in R or Python, and how you've used data analysis to drive decisions.
✨Demonstrate Multi-Asset Class Knowledge
Since the role requires exposure to multiple asset classes, be ready to talk about your experiences across different markets. Share examples of how you've navigated various asset classes and what insights you've gained from them.
✨Prepare for Performance Analysis Discussions
Expect questions about performance monitoring and analysis. Be prepared to explain how you've tracked model performance in the past and any methodologies you used to assess their effectiveness.
✨Engage with Data-Driven Decision Making
Discuss your approach to identifying alternative datasets and how you've implemented new strategies based on data insights. Show enthusiasm for data-driven decision-making and how it can impact trading outcomes.
